code: def ssd_300_mobilenet1_0_lite_coco(
      pretrained=False, pretrained_base=True, **kwargs
  ):
      from ...data import COCODetection
  
      classes = COCODetection.CLASSES
      return get_ssd(
          "mobilenet1.0",
          300,
          features=["relu22_fwd", "relu26_fwd"],
          filters=[512, 256, 256, 128],
          sizes=[60.0, 105.0, 150.0, 195.0, 240.0, 285.0, 300.0],
          ratios=[[1, 2, 0.5]] + [[1, 2, 0.5, 3, 1.0 / 3]] * 5,
          steps=[16, 30, 60, 100, 150, 300],
          classes=classes,
          dataset="coco",
          pretrained=pretrained,
          pretrained_base=pretrained_base,
          predictors_kernel=(1, 1),
          predictors_pad=(0, 0),
          min_depth=64,
          reduce_ratio=0.5,
          anchor_generator=LiteAnchorGenerator,
          **kwargs,
      )
  
imports: from __future__ import absolute_import
  import warnings
  from gluoncv.data import VOCDetection
  from .ssd import get_ssd
  from ..ssd.anchor import LiteAnchorGenerator
  from ..ssd.vgg_atrous import vgg16_atrous_300, vgg16_atrous_512
label_desc: Use image node_id 17 for calling a global function with example usage: ssd_300_mobilenet1_0_lite_coco(pretrained, pretrained_base) and returns: get_ssd